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Patterns and predictors of cognitive function and post-traumatic growth in cancer patients: a latent profile analysis

Libing Zhang et al · Frontiers Media S.A · 2026

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BackgroundCancer patients often face concurrent challenges of cancer-related cognitive impairment (CRCI) and opportunities for post-traumatic growth (PTG), but existing research primarily adopts a variable-centered approach, failing to capture the heterogeneous co-occurrence patterns of CRCI and PTG or identify key predictors of these patterns. This study aimed to explore latent profiles of psychological adaptation and their predictive factors among cancer patients, thereby responding to the practical need for refined understanding of heterogeneous adaptation patterns and providing a reference for stratified clinical interventions.MethodsA cross-sectional study was conducted between August and December 2024, recruiting 249 cancer patients from two tertiary hospitals in Zhejiang, China. Data were collected using sociodemographic and disease information, the Functional Assessment of Cancer Therapy-Cognition (FACT-Cog), the Post-Traumatic Growth Inventory (PTGI), and the Chinese Big Five Personality Inventory Brief Version (CBF-PI-B). Latent profile analysis was employed to classify patients based on standardized FACT-Cog and PTGI scores, with binary logistic regression used to identify predictors of profile membership.ResultsBased on model fit indices from latent profile analysis, a two-profile solution was identified as optimal. This included the “cognitively stable but growth-constricted” profile (73.1%), characterized by better self-reported cognitive function but limited post-traumatic growth, and the “post-traumatic growth but cognitively vulnerable” profile (26.9%), featuring significant psychological growth alongside prominent perceived cognitive impairment. Binary logistic regression analysis revealed that personality traits (neuroticism, extraversion, conscientiousness, agreeableness, openness), treatment-related factors (radiotherapy, endocrine therapy), and educational level served as significant factors influencing profile membership.ConclusionHeterogeneity exists in psychological adaptation patterns integrating CRCI and PTG among cancer patients, manifesting as two distinct profiles. Patients with lower neuroticism, higher levels of extraversion, conscientiousness, agreeableness, and openness, or those undergoing radiotherapy are more likely to belong to the “post-traumatic growth but cognitively vulnerable” profile; high educational level and endocrine therapy also show marginal positive associations with this profile. These findings support the development of tailored interventions that address these specific psychological adaptation patterns to optimize psychological care and enhance patients’ quality of life and overall well-being.

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APA 7

al, L. Z. E. (2026). Patterns and predictors of cognitive function and post-traumatic growth in cancer patients: a latent profile analysis. https://doi.org/10.3389/fpsyt.2026.1749502

MLA

al, Libing Zhang et. "Patterns and predictors of cognitive function and post-traumatic growth in cancer patients: a latent profile analysis." 2026. https://doi.org/10.3389/fpsyt.2026.1749502.

Chicago

al, Libing Zhang et. 2026. "Patterns and predictors of cognitive function and post-traumatic growth in cancer patients: a latent profile analysis.". https://doi.org/10.3389/fpsyt.2026.1749502.

Harvard

al, L. Z. E. 2026, Patterns and predictors of cognitive function and post-traumatic growth in cancer patients: a latent profile analysis, Frontiers Media S.A, available at: https://doi.org/10.3389/fpsyt.2026.1749502 [Accessed 25 Jun. 2026].

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Título
Patterns and predictors of cognitive function and post-traumatic growth in cancer patients: a latent profile analysis
Autor / colaboradores
Libing Zhang et al
Editorial
Frontiers Media S.A
Año de publicación
2026
ISSN
1664-0640
ISSN
1664-0640
Idioma
eng

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